Menu
▾
▴
Re: [Pytables-users] Pytables-users Digest, Vol 81, Issue 2
|
From: Anthony S. <sc...@gm...> - 2013-02-01 20:45:12
|
On Fri, Feb 1, 2013 at 12:43 PM, David Reed <dav...@gm...> wrote: > Hi Anthony, > > Thanks for the reply. > > I honestly don't know how to monitor my Python memory usage, but I'm sure > that its caused by out of memory. > Well, I would just run top or process monitor or something while running the python script to see what happens to memory usage as the script chugs along... > I'm just trying to find out how to fix it. My HDF5 table has 4620 rows > and the column I'm iterating over is a 17x9600 boolean matrix. The > __iter__ method is preallocating an array that is this size which appears > to be root of the error. I was hoping there is a fix somewhere in here to > not have to do this preallocation. > So a 17x9600 boolean matrix should only be 0.155 MB in space. 4620 of these is ~760 MB. If you have 2 GB of memory and you are iterating over 2 of these (templates & masks) it is conceivable that you are just running out of memory. Maybe there is a way that __iter__ could not preallocate something that is basically a temporary. What is the dtype of the templates array? Be Well Anthony > > Thanks again. > > > > > On Fri, Feb 1, 2013 at 11:12 AM, < > pyt...@li...> wrote: > >> Send Pytables-users mailing list submissions to >> pyt...@li... >> >> To subscribe or unsubscribe via the World Wide Web, visit >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> or, via email, send a message with subject or body 'help' to >> pyt...@li... >> >> You can reach the person managing the list at >> pyt...@li... >> >> When replying, please edit your Subject line so it is more specific >> than "Re: Contents of Pytables-users digest..." >> >> >> Today's Topics: >> >> 1. Re: Pytables-users Digest, Vol 80, Issue 9 (Anthony Scopatz) >> >> >> ---------------------------------------------------------------------- >> >> Message: 1 >> Date: Fri, 1 Feb 2013 10:11:47 -0600 >> From: Anthony Scopatz <sc...@gm...> >> Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, Issue 9 >> To: Discussion list for PyTables >> <pyt...@li...> >> Message-ID: >> < >> CAP...@ma...> >> Content-Type: text/plain; charset="iso-8859-1" >> >> Hi David, >> >> Sorry, I haven't had a ton of time recently. You seem to be getting a >> memory error on creating a numpy array. This kind of thing typically >> happens when you are out of memory. Does this seem to be the case with >> you? When this dies, is your memory usage at 100%? If so, this algorithm >> might require a little tweaking... >> >> Be Well >> Anthony >> >> >> On Fri, Feb 1, 2013 at 6:15 AM, David Reed <dav...@gm...> >> wrote: >> >> > I'm still having problems with this one. I can't tell if this something >> > dumb Im doing with itertools, or if its something in pytables. >> > >> > Would appreciate any help. >> > >> > Thanks >> > >> > >> > On Wed, Jan 30, 2013 at 5:00 PM, David Reed <dav...@gm... >> >wrote: >> > >> >> I think I have to reopen this issue. I have been running fine for >> awhile >> >> using the combinations method from itertools, but have recently run >> into a >> >> memory since I have recently quadrupled the size of the hdf file. >> >> >> >> Here is my code again: >> >> >> >> from itertools import combinations, izip >> >> with tb.openFile(h5_all, 'r') as f: >> >> irises = f.root.irises >> >> >> >> templates = f.root.irises.cols.templates >> >> masks = f.root.irises.cols.masks1 >> >> >> >> N_irises = len(irises) >> >> index = np.ones((20 * 480), np.bool) >> >> >> >> print '%i Comparisons' % (N_irises*(N_irises - 1)/2) >> >> D = np.empty((N_irises, N_irises)) >> >> for (t1, m1, ii), (t2, m2, jj) in combinations(izip(templates, masks, >> >> range(N_irises)), 2): >> >> # print ii >> >> D[ii, jj] = ham_dist( >> >> t1[8, index], >> >> t2[:, index], >> >> m1[8, index], >> >> m2[:, index], >> >> ) >> >> >> >> And here is the error: >> >> >> >> In [10]: get_hd3() >> >> 10669890 Comparisons >> >> >> >> >> --------------------------------------------------------------------------- >> >> MemoryError Traceback (most recent call >> >> last) >> >> <ipython-input-10-cfb255ce7bd1> in <module>() >> >> ----> 1 get_hd3() >> >> >> >> >> >> 118 print '%i Comparisons' % (N_irises*(N_irises - >> >> 1)/2) >> >> 119 D = np.empty((N_irises, N_irises)) >> >> --> 120 for (t1, m1, ii), (t2, m2, jj) in >> >> combinations(izip(temp >> >> lates, masks, range(N_irises)), 2): >> >> 121 # print ii >> >> 122 D[ii, jj] = ham_dist( >> >> >> >> c:\python27\lib\site-packages\tables\table.pyc in __iter__(self) >> >> 3274 for start_row in xrange(0, len(self), nrowsinbuf): >> >> 3275 end_row = min([start_row + nrowsinbuf, max_row]) >> >> -> 3276 buf = table.read(start_row, end_row, 1, >> >> field=self.pathname) >> >> >> >> 3277 for row in buf: >> >> 3278 yield row >> >> >> >> c:\python27\lib\site-packages\tables\table.pyc in read(self, start, >> stop, >> >> step, >> >> field) >> >> 1772 (start, stop, step) = self._processRangeRead(start, >> stop, >> >> step) >> >> 1773 >> >> -> 1774 arr = self._read(start, stop, step, field) >> >> 1775 return internal_to_flavor(arr, self.flavor) >> >> 1776 >> >> >> >> c:\python27\lib\site-packages\tables\table.pyc in _read(self, start, >> >> stop, step, >> >> field) >> >> 1719 if field: >> >> 1720 # Create a container for the results >> >> -> 1721 result = numpy.empty(shape=nrows, dtype=dtypeField) >> >> 1722 else: >> >> 1723 # Recarray case >> >> >> >> MemoryError: >> >> > c:\python27\lib\site-packages\tables\table.py(1721)_read() >> >> 1720 # Create a container for the results >> >> -> 1721 result = numpy.empty(shape=nrows, dtype=dtypeField) >> >> 1722 else: >> >> >> >> Also, if you guys see any performance problems in my code, please let >> me >> >> know. >> >> >> >> Thank you so much for the help. >> >> >> >> -Dave >> >> >> >> >> >> On Fri, Jan 4, 2013 at 8:57 AM, < >> >> pyt...@li...> wrote: >> >> >> >>> Send Pytables-users mailing list submissions to >> >>> pyt...@li... >> >>> >> >>> To subscribe or unsubscribe via the World Wide Web, visit >> >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> or, via email, send a message with subject or body 'help' to >> >>> pyt...@li... >> >>> >> >>> You can reach the person managing the list at >> >>> pyt...@li... >> >>> >> >>> When replying, please edit your Subject line so it is more specific >> >>> than "Re: Contents of Pytables-users digest..." >> >>> >> >>> >> >>> Today's Topics: >> >>> >> >>> 1. Re: Pytables-users Digest, Vol 80, Issue 8 (David Reed) >> >>> >> >>> >> >>> ---------------------------------------------------------------------- >> >>> >> >>> Message: 1 >> >>> Date: Fri, 4 Jan 2013 08:56:28 -0500 >> >>> From: David Reed <dav...@gm...> >> >>> Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, Issue 8 >> >>> To: pyt...@li... >> >>> Message-ID: >> >>> < >> >>> CAM...@ma...> >> >>> Content-Type: text/plain; charset="iso-8859-1" >> >>> >> >>> I can't thank you guys enough for the help. I was able to add the >> >>> __iter__ >> >>> function to the table.py file and everything seems to be working >> great! >> >>> I'm not quite as fast as I was with iterating right of a matrix but >> >>> pretty >> >>> close. I was at 555 comparisons per second, and now im at 420. >> >>> >> >>> I handled the problem I mentioned earlier by doing this, and it seems >> to >> >>> work great: >> >>> >> >>> A = f.root.data.cols.A >> >>> B = f.root.data.cols.B >> >>> >> >>> D = np.empty((len(A), len(A)) >> >>> for (a1, b1, ii), (a2, b2, jj) in combinations(izip(A, B, >> range(len(A))), >> >>> 2): >> >>> D[ii, jj] = compare(a1, a2, b1, b2) >> >>> >> >>> Again, thanks a lot. >> >>> >> >>> -Dave >> >>> >> >>> >> >>> On Thu, Jan 3, 2013 at 6:31 PM, < >> >>> pyt...@li...> wrote: >> >>> >> >>> > Send Pytables-users mailing list submissions to >> >>> > pyt...@li... >> >>> > >> >>> > To subscribe or unsubscribe via the World Wide Web, visit >> >>> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > or, via email, send a message with subject or body 'help' to >> >>> > pyt...@li... >> >>> > >> >>> > You can reach the person managing the list at >> >>> > pyt...@li... >> >>> > >> >>> > When replying, please edit your Subject line so it is more specific >> >>> > than "Re: Contents of Pytables-users digest..." >> >>> > >> >>> > >> >>> > Today's Topics: >> >>> > >> >>> > 1. Re: Pytables-users Digest, Vol 80, Issue 3 (Anthony Scopatz) >> >>> > 2. Re: Pytables-users Digest, Vol 80, Issue 4 (Anthony Scopatz) >> >>> > >> >>> > >> >>> > >> ---------------------------------------------------------------------- >> >>> > >> >>> > Message: 1 >> >>> > Date: Thu, 3 Jan 2013 17:26:55 -0600 >> >>> > From: Anthony Scopatz <sc...@gm...> >> >>> > Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, Issue 3 >> >>> > To: Discussion list for PyTables >> >>> > <pyt...@li...> >> >>> > Message-ID: >> >>> > <CAPk-6T6sz=J5ay_a9YGLPe_yBLGa9c+XgxG0CRNs6fJ= >> >>> > Gz...@ma...> >> >>> > Content-Type: text/plain; charset="iso-8859-1" >> >>> > >> >>> > On Thu, Jan 3, 2013 at 2:17 PM, David Reed <dav...@gm...> >> >>> wrote: >> >>> > >> >>> > > Thanks a lot for the help so far guys! >> >>> > > >> >>> > > Looking at itertools, I found what I believe to be the perfect >> >>> function >> >>> > > for what I need, itertools.combinations. This appears to be a >> valid >> >>> > > replacement to the method proposed. >> >>> > > >> >>> > >> >>> > Yes, combinations is awesome! >> >>> > >> >>> > >> >>> > > >> >>> > > There is a small problem that I didn't mention is that my compare >> >>> > function >> >>> > > actually takes as inputs 2 columns from the table. Like so: >> >>> > > >> >>> > > D = np.empty((N_irises, N_irises)) >> >>> > > for ii in xrange(N_elements): >> >>> > > for jj in xrange(ii+1, N_elements): >> >>> > > D[ii, jj] = compare(data['element1'][ii], >> >>> > data['element1'][jj],data['element2'][ii], >> >>> > > data['element2'][jj]) >> >>> > > >> >>> > > Is there an efficient way of using itertools with this structure? >> >>> > > >> >>> > >> >>> > You can always make two other iterators for each column. Since you >> >>> have >> >>> > two columns you would have 4 iterators. I am not sure how fast >> this is >> >>> > going to be but I am confident that there is definitely a way to do >> >>> this in >> >>> > one for-loop, which is going to be way faster than nested loops. >> >>> > >> >>> > Be Well >> >>> > Anthony >> >>> > >> >>> > >> >>> > > >> >>> > > >> >>> > > On Thu, Jan 3, 2013 at 1:29 PM, < >> >>> > > pyt...@li...> wrote: >> >>> > > >> >>> > >> Send Pytables-users mailing list submissions to >> >>> > >> pyt...@li... >> >>> > >> >> >>> > >> To subscribe or unsubscribe via the World Wide Web, visit >> >>> > >> >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> or, via email, send a message with subject or body 'help' to >> >>> > >> pyt...@li... >> >>> > >> >> >>> > >> You can reach the person managing the list at >> >>> > >> pyt...@li... >> >>> > >> >> >>> > >> When replying, please edit your Subject line so it is more >> specific >> >>> > >> than "Re: Contents of Pytables-users digest..." >> >>> > >> >> >>> > >> >> >>> > >> Today's Topics: >> >>> > >> >> >>> > >> 1. Re: Nested Iteration of HDF5 using PyTables (Josh Ayers) >> >>> > >> >> >>> > >> >> >>> > >> >> >>> ---------------------------------------------------------------------- >> >>> > >> >> >>> > >> Message: 1 >> >>> > >> Date: Thu, 3 Jan 2013 10:29:33 -0800 >> >>> > >> From: Josh Ayers <jos...@gm...> >> >>> > >> Subject: Re: [Pytables-users] Nested Iteration of HDF5 using >> >>> PyTables >> >>> > >> To: Discussion list for PyTables >> >>> > >> <pyt...@li...> >> >>> > >> Message-ID: >> >>> > >> < >> >>> > >> >> CAC...@ma...> >> >>> > >> Content-Type: text/plain; charset="iso-8859-1" >> >>> > >> >> >>> > >> David, >> >>> > >> >> >>> > >> The change in issue 27 was only for iteration over a >> tables.Column >> >>> > >> instance. To use it, tweak Anthony's code as follows. This will >> >>> > iterate >> >>> > >> over the "element" column, as in your original example. >> >>> > >> >> >>> > >> Note also that this will only work with the development version >> of >> >>> > >> PyTables >> >>> > >> available on github. It will be very slow using the released >> >>> v2.4.0. >> >>> > >> >> >>> > >> >> >>> > >> from itertools import izip >> >>> > >> >> >>> > >> with tb.openFile(...) as f: >> >>> > >> data = f.root.data.cols.element >> >>> > >> data_i = iter(data) >> >>> > >> data_j = iter(data) >> >>> > >> data_i.next() # throw the first value away >> >>> > >> for i, j in izip(data_i, data_j): >> >>> > >> compare(i, j) >> >>> > >> >> >>> > >> >> >>> > >> Hope that helps, >> >>> > >> Josh >> >>> > >> >> >>> > >> >> >>> > >> >> >>> > >> On Thu, Jan 3, 2013 at 9:11 AM, Anthony Scopatz < >> sc...@gm...> >> >>> > >> wrote: >> >>> > >> >> >>> > >> > HI David, >> >>> > >> > >> >>> > >> > Tables and table column iteration have been overhauled fairly >> >>> recently >> >>> > >> > [1]. So you might try creating two iterators, offset by one, >> and >> >>> then >> >>> > >> > doing the comparison. I am hacking this out super quick so >> please >> >>> > >> forgive >> >>> > >> > me: >> >>> > >> > >> >>> > >> > from itertools import izip >> >>> > >> > >> >>> > >> > with tb.openFile(...) as f: >> >>> > >> > data = f.root.data >> >>> > >> > data_i = iter(data) >> >>> > >> > data_j = iter(data) >> >>> > >> > data_i.next() # throw the first value away >> >>> > >> > for i, j in izip(data_i, data_j): >> >>> > >> > compare(i, j) >> >>> > >> > >> >>> > >> > You get the idea ;) >> >>> > >> > >> >>> > >> > Be Well >> >>> > >> > Anthony >> >>> > >> > >> >>> > >> > 1. https://github.com/PyTables/PyTables/issues/27 >> >>> > >> > >> >>> > >> > >> >>> > >> > On Thu, Jan 3, 2013 at 9:25 AM, David Reed < >> >>> dav...@gm...> >> >>> > >> wrote: >> >>> > >> > >> >>> > >> >> I was hoping someone could help me out here. >> >>> > >> >> >> >>> > >> >> This is from a post I put up on StackOverflow, >> >>> > >> >> >> >>> > >> >> I am have a fairly large dataset that I store in HDF5 and >> access >> >>> > using >> >>> > >> >> PyTables. One operation I need to do on this dataset are >> pairwise >> >>> > >> >> comparisons between each of the elements. This requires 2 >> loops, >> >>> one >> >>> > to >> >>> > >> >> iterate over each element, and an inner loop to iterate over >> >>> every >> >>> > >> other >> >>> > >> >> element. This operation thus looks at N(N-1)/2 comparisons. >> >>> > >> >> >> >>> > >> >> For fairly small sets I found it to be faster to dump the >> >>> contents >> >>> > >> into a >> >>> > >> >> multdimensional numpy array and then do my iteration. I run >> into >> >>> > >> problems >> >>> > >> >> with large sets because of memory issues and need to access >> each >> >>> > >> element of >> >>> > >> >> the dataset at run time. >> >>> > >> >> >> >>> > >> >> Putting the elements into an array gives me about 600 >> >>> comparisons per >> >>> > >> >> second, while operating on hdf5 data itself gives me about 300 >> >>> > >> comparisons >> >>> > >> >> per second. >> >>> > >> >> >> >>> > >> >> Is there a way to speed this process up? >> >>> > >> >> >> >>> > >> >> Example follows (this is not my real code, just an example): >> >>> > >> >> >> >>> > >> >> *Small Set*: >> >>> > >> >> >> >>> > >> >> >> >>> > >> >> with tb.openFile(h5_file, 'r') as f: >> >>> > >> >> data = f.root.data >> >>> > >> >> >> >>> > >> >> N_elements = len(data) >> >>> > >> >> elements = np.empty((N_irises, 1e5)) >> >>> > >> >> >> >>> > >> >> for ii, d in enumerate(data): >> >>> > >> >> elements[ii] = data['element'] >> >>> > >> >> >> >>> > >> >> D = np.empty((N_irises, N_irises)) for ii in >> xrange(N_elements): >> >>> > >> >> for jj in xrange(ii+1, N_elements): >> >>> > >> >> D[ii, jj] = compare(elements[ii], elements[jj]) >> >>> > >> >> >> >>> > >> >> *Large Set*: >> >>> > >> >> >> >>> > >> >> >> >>> > >> >> with tb.openFile(h5_file, 'r') as f: >> >>> > >> >> data = f.root.data >> >>> > >> >> >> >>> > >> >> N_elements = len(data) >> >>> > >> >> >> >>> > >> >> D = np.empty((N_irises, N_irises)) >> >>> > >> >> for ii in xrange(N_elements): >> >>> > >> >> for jj in xrange(ii+1, N_elements): >> >>> > >> >> D[ii, jj] = compare(data['element'][ii], >> >>> > >> data['element'][jj]) >> >>> > >> >> >> >>> > >> >> >> >>> > >> >> >> >>> > >> >> >> >>> > >> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >> >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> HTML5, >> >>> CSS, >> >>> > >> >> MVC, Windows 8 Apps, JavaScript and much more. Keep your >> skills >> >>> > current >> >>> > >> >> with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >> >> MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >> >> http://p.sf.net/sfu/learnmore_122712 >> >>> > >> >> _______________________________________________ >> >>> > >> >> Pytables-users mailing list >> >>> > >> >> Pyt...@li... >> >>> > >> >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> >> >> >>> > >> >> >> >>> > >> > >> >>> > >> > >> >>> > >> > >> >>> > >> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> HTML5, >> >>> CSS, >> >>> > >> > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> > current >> >>> > >> > with LearnDevNow - 3,200 step-by-step video tutorials by >> Microsoft >> >>> > >> > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >> > http://p.sf.net/sfu/learnmore_122712 >> >>> > >> > _______________________________________________ >> >>> > >> > Pytables-users mailing list >> >>> > >> > Pyt...@li... >> >>> > >> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> > >> >>> > >> > >> >>> > >> -------------- next part -------------- >> >>> > >> An HTML attachment was scrubbed... >> >>> > >> >> >>> > >> ------------------------------ >> >>> > >> >> >>> > >> >> >>> > >> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> >>> CSS, >> >>> > >> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> current >> >>> > >> with LearnDevNow - 3,200 step-by-step video tutorials by >> Microsoft >> >>> > >> MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >> http://p.sf.net/sfu/learnmore_122712 >> >>> > >> >> >>> > >> ------------------------------ >> >>> > >> >> >>> > >> _______________________________________________ >> >>> > >> Pytables-users mailing list >> >>> > >> Pyt...@li... >> >>> > >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> >> >>> > >> >> >>> > >> End of Pytables-users Digest, Vol 80, Issue 3 >> >>> > >> ********************************************* >> >>> > >> >> >>> > > >> >>> > > >> >>> > > >> >>> > > >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> CSS, >> >>> > > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> current >> >>> > > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft >> >>> > > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > > http://p.sf.net/sfu/learnmore_122712 >> >>> > > _______________________________________________ >> >>> > > Pytables-users mailing list >> >>> > > Pyt...@li... >> >>> > > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > > >> >>> > > >> >>> > -------------- next part -------------- >> >>> > An HTML attachment was scrubbed... >> >>> > >> >>> > ------------------------------ >> >>> > >> >>> > Message: 2 >> >>> > Date: Thu, 3 Jan 2013 17:30:59 -0600 >> >>> > From: Anthony Scopatz <sc...@gm...> >> >>> > Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, Issue 4 >> >>> > To: Discussion list for PyTables >> >>> > <pyt...@li...> >> >>> > Message-ID: >> >>> > < >> >>> > CAP...@ma...> >> >>> > Content-Type: text/plain; charset="iso-8859-1" >> >>> > >> >>> > Josh is right that you can just edit the code by hand (which works >> but >> >>> > sucks). >> >>> > >> >>> > However, on Windows -- on the rare occasion when I also have to >> >>> develop on >> >>> > it -- I typically use a distribution that includes a compiler, >> cython, >> >>> > hdf5, and pytables already and then I install my development version >> >>> from >> >>> > github OVER this. I recommend either EPD or Anaconda, though other >> >>> > distributions listed here [1] might also work. >> >>> > >> >>> > Be well >> >>> > Anthony >> >>> > >> >>> > 1. http://numfocus.org/projects-2/software-distributions/ >> >>> > >> >>> > >> >>> > On Thu, Jan 3, 2013 at 3:46 PM, Josh Ayers <jos...@gm...> >> >>> wrote: >> >>> > >> >>> > > The change was in pure Python code, so you should be able to just >> >>> paste >> >>> > in >> >>> > > the changes to your local copy. Start with the >> table.Column.__iter__ >> >>> > > method (lines 3296-3310) here. >> >>> > > >> >>> > > >> >>> > > >> >>> > >> >>> >> https://github.com/PyTables/PyTables/blob/b479ed025f4636f7f4744ac83a89bc947808907c/tables/table.py >> >>> > > >> >>> > > It needs to be modified slightly because it uses some additional >> >>> features >> >>> > > that aren't available in the released version (the out=buf_slice >> >>> argument >> >>> > > to table.read). The following should work. >> >>> > > >> >>> > > def __iter__(self): >> >>> > > table = self.table >> >>> > > itemsize = self.dtype.itemsize >> >>> > > nrowsinbuf = table._v_file.params['IO_BUFFER_SIZE'] // >> >>> itemsize >> >>> > > max_row = len(self) >> >>> > > for start_row in xrange(0, len(self), nrowsinbuf): >> >>> > > end_row = min([start_row + nrowsinbuf, max_row]) >> >>> > > buf = table.read(start_row, end_row, 1, >> >>> field=self.pathname) >> >>> > > for row in buf: >> >>> > > yield row >> >>> > > >> >>> > > >> >>> > > I haven't tested this, but I think it will work. >> >>> > > >> >>> > > Josh >> >>> > > >> >>> > > >> >>> > > >> >>> > > On Thu, Jan 3, 2013 at 1:25 PM, David Reed < >> dav...@gm...> >> >>> > wrote: >> >>> > > >> >>> > >> I apologize if I'm starting to sound helpless, but I'm forced to >> >>> work on >> >>> > >> Windows 7 at work and have never had luck compiling python source >> >>> > >> successfully. I have had to rely on precompiled binaries and now >> >>> its >> >>> > >> biting me in the butt. >> >>> > >> >> >>> > >> Is there any quick fix I can do to improve this iteration using >> >>> v2.4.0? >> >>> > >> >> >>> > >> >> >>> > >> On Thu, Jan 3, 2013 at 3:17 PM, < >> >>> > >> pyt...@li...> wrote: >> >>> > >> >> >>> > >>> Send Pytables-users mailing list submissions to >> >>> > >>> pyt...@li... >> >>> > >>> >> >>> > >>> To subscribe or unsubscribe via the World Wide Web, visit >> >>> > >>> >> >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> or, via email, send a message with subject or body 'help' to >> >>> > >>> pyt...@li... >> >>> > >>> >> >>> > >>> You can reach the person managing the list at >> >>> > >>> pyt...@li... >> >>> > >>> >> >>> > >>> When replying, please edit your Subject line so it is more >> specific >> >>> > >>> than "Re: Contents of Pytables-users digest..." >> >>> > >>> >> >>> > >>> >> >>> > >>> Today's Topics: >> >>> > >>> >> >>> > >>> 1. Re: Pytables-users Digest, Vol 80, Issue 2 (David Reed) >> >>> > >>> 2. Re: Pytables-users Digest, Vol 80, Issue 3 (David Reed) >> >>> > >>> >> >>> > >>> >> >>> > >>> >> >>> ---------------------------------------------------------------------- >> >>> > >>> >> >>> > >>> Message: 1 >> >>> > >>> Date: Thu, 3 Jan 2013 13:44:29 -0500 >> >>> > >>> From: David Reed <dav...@gm...> >> >>> > >>> Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, >> Issue >> >>> 2 >> >>> > >>> To: pyt...@li... >> >>> > >>> Message-ID: >> >>> > >>> <CAM6XA7=8ocg5WPD4KLSvLhSw-3BCvq5u7MRxq3Ajd6ha= >> >>> > >>> ev...@ma...> >> >>> > >>> Content-Type: text/plain; charset="iso-8859-1" >> >>> > >>> >> >>> > >>> Thanks Anthony, but unless Im missing something I don't think >> that >> >>> > method >> >>> > >>> will work since this will only be comparing the ith element with >> >>> ith+1 >> >>> > >>> element. I still need 2 for loops right? >> >>> > >>> >> >>> > >>> Using itertools might speed things up though, I've never used >> them >> >>> so I >> >>> > >>> will give it a shot and let you know how it goes. Looks like I >> >>> need to >> >>> > >>> download the latest release before I do that too. Thanks for >> the >> >>> help. >> >>> > >>> >> >>> > >>> -Dave >> >>> > >>> >> >>> > >>> >> >>> > >>> >> >>> > >>> On Thu, Jan 3, 2013 at 12:12 PM, < >> >>> > >>> pyt...@li...> wrote: >> >>> > >>> >> >>> > >>> > Send Pytables-users mailing list submissions to >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > To subscribe or unsubscribe via the World Wide Web, visit >> >>> > >>> > >> >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > or, via email, send a message with subject or body 'help' to >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > You can reach the person managing the list at >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > When replying, please edit your Subject line so it is more >> >>> specific >> >>> > >>> > than "Re: Contents of Pytables-users digest..." >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > Today's Topics: >> >>> > >>> > >> >>> > >>> > 1. Re: Nested Iteration of HDF5 using PyTables (Anthony >> >>> Scopatz) >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > >> >>> > >> ---------------------------------------------------------------------- >> >>> > >>> > >> >>> > >>> > Message: 1 >> >>> > >>> > Date: Thu, 3 Jan 2013 11:11:47 -0600 >> >>> > >>> > From: Anthony Scopatz <sc...@gm...> >> >>> > >>> > Subject: Re: [Pytables-users] Nested Iteration of HDF5 using >> >>> PyTables >> >>> > >>> > To: Discussion list for PyTables >> >>> > >>> > <pyt...@li...> >> >>> > >>> > Message-ID: >> >>> > >>> > <CAPk-6T5b= >> >>> > >>> > 1EG...@ma...> >> >>> > >>> > Content-Type: text/plain; charset="iso-8859-1" >> >>> > >>> > >> >>> > >>> > HI David, >> >>> > >>> > >> >>> > >>> > Tables and table column iteration have been overhauled fairly >> >>> > recently >> >>> > >>> [1]. >> >>> > >>> > So you might try creating two iterators, offset by one, and >> then >> >>> > >>> doing the >> >>> > >>> > comparison. I am hacking this out super quick so please >> forgive >> >>> me: >> >>> > >>> > >> >>> > >>> > from itertools import izip >> >>> > >>> > >> >>> > >>> > with tb.openFile(...) as f: >> >>> > >>> > data = f.root.data >> >>> > >>> > data_i = iter(data) >> >>> > >>> > data_j = iter(data) >> >>> > >>> > data_i.next() # throw the first value away >> >>> > >>> > for i, j in izip(data_i, data_j): >> >>> > >>> > compare(i, j) >> >>> > >>> > >> >>> > >>> > You get the idea ;) >> >>> > >>> > >> >>> > >>> > Be Well >> >>> > >>> > Anthony >> >>> > >>> > >> >>> > >>> > 1. https://github.com/PyTables/PyTables/issues/27 >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > On Thu, Jan 3, 2013 at 9:25 AM, David Reed < >> >>> dav...@gm...> >> >>> > >>> wrote: >> >>> > >>> > >> >>> > >>> > > I was hoping someone could help me out here. >> >>> > >>> > > >> >>> > >>> > > This is from a post I put up on StackOverflow, >> >>> > >>> > > >> >>> > >>> > > I am have a fairly large dataset that I store in HDF5 and >> >>> access >> >>> > >>> using >> >>> > >>> > > PyTables. One operation I need to do on this dataset are >> >>> pairwise >> >>> > >>> > > comparisons between each of the elements. This requires 2 >> >>> loops, >> >>> > one >> >>> > >>> to >> >>> > >>> > > iterate over each element, and an inner loop to iterate over >> >>> every >> >>> > >>> other >> >>> > >>> > > element. This operation thus looks at N(N-1)/2 comparisons. >> >>> > >>> > > >> >>> > >>> > > For fairly small sets I found it to be faster to dump the >> >>> contents >> >>> > >>> into a >> >>> > >>> > > multdimensional numpy array and then do my iteration. I run >> >>> into >> >>> > >>> problems >> >>> > >>> > > with large sets because of memory issues and need to access >> >>> each >> >>> > >>> element >> >>> > >>> > of >> >>> > >>> > > the dataset at run time. >> >>> > >>> > > >> >>> > >>> > > Putting the elements into an array gives me about 600 >> >>> comparisons >> >>> > per >> >>> > >>> > > second, while operating on hdf5 data itself gives me about >> 300 >> >>> > >>> > comparisons >> >>> > >>> > > per second. >> >>> > >>> > > >> >>> > >>> > > Is there a way to speed this process up? >> >>> > >>> > > >> >>> > >>> > > Example follows (this is not my real code, just an example): >> >>> > >>> > > >> >>> > >>> > > *Small Set*: >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > with tb.openFile(h5_file, 'r') as f: >> >>> > >>> > > data = f.root.data >> >>> > >>> > > >> >>> > >>> > > N_elements = len(data) >> >>> > >>> > > elements = np.empty((N_irises, 1e5)) >> >>> > >>> > > >> >>> > >>> > > for ii, d in enumerate(data): >> >>> > >>> > > elements[ii] = data['element'] >> >>> > >>> > > >> >>> > >>> > > D = np.empty((N_irises, N_irises)) for ii in >> >>> xrange(N_elements): >> >>> > >>> > > for jj in xrange(ii+1, N_elements): >> >>> > >>> > > D[ii, jj] = compare(elements[ii], elements[jj]) >> >>> > >>> > > >> >>> > >>> > > *Large Set*: >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > with tb.openFile(h5_file, 'r') as f: >> >>> > >>> > > data = f.root.data >> >>> > >>> > > >> >>> > >>> > > N_elements = len(data) >> >>> > >>> > > >> >>> > >>> > > D = np.empty((N_irises, N_irises)) >> >>> > >>> > > for ii in xrange(N_elements): >> >>> > >>> > > for jj in xrange(ii+1, N_elements): >> >>> > >>> > > D[ii, jj] = compare(data['element'][ii], >> >>> > >>> > data['element'][jj]) >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> > > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> >>> HTML5, >> >>> > CSS, >> >>> > >>> > > MVC, Windows 8 Apps, JavaScript and much more. Keep your >> skills >> >>> > >>> current >> >>> > >>> > > with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >>> > > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> > > http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> > > _______________________________________________ >> >>> > >>> > > Pytables-users mailing list >> >>> > >>> > > Pyt...@li... >> >>> > >>> > > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > -------------- next part -------------- >> >>> > >>> > An HTML attachment was scrubbed... >> >>> > >>> > >> >>> > >>> > ------------------------------ >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> HTML5, >> >>> CSS, >> >>> > >>> > MVC, Windows 8 Apps, JavaScript and much more. Keep your >> skills >> >>> > current >> >>> > >>> > with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >>> > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> > http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> > >> >>> > >>> > ------------------------------ >> >>> > >>> > >> >>> > >>> > _______________________________________________ >> >>> > >>> > Pytables-users mailing list >> >>> > >>> > Pyt...@li... >> >>> > >>> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > End of Pytables-users Digest, Vol 80, Issue 2 >> >>> > >>> > ********************************************* >> >>> > >>> > >> >>> > >>> -------------- next part -------------- >> >>> > >>> An HTML attachment was scrubbed... >> >>> > >>> >> >>> > >>> ------------------------------ >> >>> > >>> >> >>> > >>> Message: 2 >> >>> > >>> Date: Thu, 3 Jan 2013 15:17:01 -0500 >> >>> > >>> From: David Reed <dav...@gm...> >> >>> > >>> Subject: Re: [Pytables-users] Pytables-users Digest, Vol 80, >> Issue >> >>> 3 >> >>> > >>> To: pyt...@li... >> >>> > >>> Message-ID: >> >>> > >>> < >> >>> > >>> >> CAM...@ma... >> >>> > >> >>> > >>> Content-Type: text/plain; charset="iso-8859-1" >> >>> > >>> >> >>> > >>> Thanks a lot for the help so far guys! >> >>> > >>> >> >>> > >>> Looking at itertools, I found what I believe to be the perfect >> >>> function >> >>> > >>> for >> >>> > >>> what I need, itertools.combinations. This appears to be a valid >> >>> > >>> replacement >> >>> > >>> to the method proposed. >> >>> > >>> >> >>> > >>> There is a small problem that I didn't mention is that my >> compare >> >>> > >>> function >> >>> > >>> actually takes as inputs 2 columns from the table. Like so: >> >>> > >>> >> >>> > >>> D = np.empty((N_irises, N_irises)) >> >>> > >>> for ii in xrange(N_elements): >> >>> > >>> for jj in xrange(ii+1, N_elements): >> >>> > >>> D[ii, jj] = compare(data['element1'][ii], >> >>> > >>> data['element1'][jj],data['element2'][ii], >> >>> > >>> data['element2'][jj]) >> >>> > >>> >> >>> > >>> Is there an efficient way of using itertools with this >> structure? >> >>> > >>> >> >>> > >>> >> >>> > >>> On Thu, Jan 3, 2013 at 1:29 PM, < >> >>> > >>> pyt...@li...> wrote: >> >>> > >>> >> >>> > >>> > Send Pytables-users mailing list submissions to >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > To subscribe or unsubscribe via the World Wide Web, visit >> >>> > >>> > >> >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > or, via email, send a message with subject or body 'help' to >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > You can reach the person managing the list at >> >>> > >>> > pyt...@li... >> >>> > >>> > >> >>> > >>> > When replying, please edit your Subject line so it is more >> >>> specific >> >>> > >>> > than "Re: Contents of Pytables-users digest..." >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > Today's Topics: >> >>> > >>> > >> >>> > >>> > 1. Re: Nested Iteration of HDF5 using PyTables (Josh Ayers) >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > >> >>> > >> ---------------------------------------------------------------------- >> >>> > >>> > >> >>> > >>> > Message: 1 >> >>> > >>> > Date: Thu, 3 Jan 2013 10:29:33 -0800 >> >>> > >>> > From: Josh Ayers <jos...@gm...> >> >>> > >>> > Subject: Re: [Pytables-users] Nested Iteration of HDF5 using >> >>> PyTables >> >>> > >>> > To: Discussion list for PyTables >> >>> > >>> > <pyt...@li...> >> >>> > >>> > Message-ID: >> >>> > >>> > < >> >>> > >>> > >> >>> CAC...@ma...> >> >>> > >>> > Content-Type: text/plain; charset="iso-8859-1" >> >>> > >>> > >> >>> > >>> > David, >> >>> > >>> > >> >>> > >>> > The change in issue 27 was only for iteration over a >> >>> tables.Column >> >>> > >>> > instance. To use it, tweak Anthony's code as follows. This >> will >> >>> > >>> iterate >> >>> > >>> > over the "element" column, as in your original example. >> >>> > >>> > >> >>> > >>> > Note also that this will only work with the development >> version >> >>> of >> >>> > >>> PyTables >> >>> > >>> > available on github. It will be very slow using the released >> >>> v2.4.0. >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > from itertools import izip >> >>> > >>> > >> >>> > >>> > with tb.openFile(...) as f: >> >>> > >>> > data = f.root.data.cols.element >> >>> > >>> > data_i = iter(data) >> >>> > >>> > data_j = iter(data) >> >>> > >>> > data_i.next() # throw the first value away >> >>> > >>> > for i, j in izip(data_i, data_j): >> >>> > >>> > compare(i, j) >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > Hope that helps, >> >>> > >>> > Josh >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > On Thu, Jan 3, 2013 at 9:11 AM, Anthony Scopatz < >> >>> sc...@gm...> >> >>> > >>> wrote: >> >>> > >>> > >> >>> > >>> > > HI David, >> >>> > >>> > > >> >>> > >>> > > Tables and table column iteration have been overhauled >> fairly >> >>> > >>> recently >> >>> > >>> > > [1]. So you might try creating two iterators, offset by >> one, >> >>> and >> >>> > >>> then >> >>> > >>> > > doing the comparison. I am hacking this out super quick so >> >>> please >> >>> > >>> > forgive >> >>> > >>> > > me: >> >>> > >>> > > >> >>> > >>> > > from itertools import izip >> >>> > >>> > > >> >>> > >>> > > with tb.openFile(...) as f: >> >>> > >>> > > data = f.root.data >> >>> > >>> > > data_i = iter(data) >> >>> > >>> > > data_j = iter(data) >> >>> > >>> > > data_i.next() # throw the first value away >> >>> > >>> > > for i, j in izip(data_i, data_j): >> >>> > >>> > > compare(i, j) >> >>> > >>> > > >> >>> > >>> > > You get the idea ;) >> >>> > >>> > > >> >>> > >>> > > Be Well >> >>> > >>> > > Anthony >> >>> > >>> > > >> >>> > >>> > > 1. https://github.com/PyTables/PyTables/issues/27 >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > On Thu, Jan 3, 2013 at 9:25 AM, David Reed < >> >>> dav...@gm... >> >>> > > >> >>> > >>> > wrote: >> >>> > >>> > > >> >>> > >>> > >> I was hoping someone could help me out here. >> >>> > >>> > >> >> >>> > >>> > >> This is from a post I put up on StackOverflow, >> >>> > >>> > >> >> >>> > >>> > >> I am have a fairly large dataset that I store in HDF5 and >> >>> access >> >>> > >>> using >> >>> > >>> > >> PyTables. One operation I need to do on this dataset are >> >>> pairwise >> >>> > >>> > >> comparisons between each of the elements. This requires 2 >> >>> loops, >> >>> > >>> one to >> >>> > >>> > >> iterate over each element, and an inner loop to iterate >> over >> >>> every >> >>> > >>> other >> >>> > >>> > >> element. This operation thus looks at N(N-1)/2 comparisons. >> >>> > >>> > >> >> >>> > >>> > >> For fairly small sets I found it to be faster to dump the >> >>> contents >> >>> > >>> into >> >>> > >>> > a >> >>> > >>> > >> multdimensional numpy array and then do my iteration. I run >> >>> into >> >>> > >>> > problems >> >>> > >>> > >> with large sets because of memory issues and need to access >> >>> each >> >>> > >>> > element of >> >>> > >>> > >> the dataset at run time. >> >>> > >>> > >> >> >>> > >>> > >> Putting the elements into an array gives me about 600 >> >>> comparisons >> >>> > >>> per >> >>> > >>> > >> second, while operating on hdf5 data itself gives me about >> 300 >> >>> > >>> > comparisons >> >>> > >>> > >> per second. >> >>> > >>> > >> >> >>> > >>> > >> Is there a way to speed this process up? >> >>> > >>> > >> >> >>> > >>> > >> Example follows (this is not my real code, just an >> example): >> >>> > >>> > >> >> >>> > >>> > >> *Small Set*: >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > >> with tb.openFile(h5_file, 'r') as f: >> >>> > >>> > >> data = f.root.data >> >>> > >>> > >> >> >>> > >>> > >> N_elements = len(data) >> >>> > >>> > >> elements = np.empty((N_irises, 1e5)) >> >>> > >>> > >> >> >>> > >>> > >> for ii, d in enumerate(data): >> >>> > >>> > >> elements[ii] = data['element'] >> >>> > >>> > >> >> >>> > >>> > >> D = np.empty((N_irises, N_irises)) for ii in >> >>> xrange(N_elements): >> >>> > >>> > >> for jj in xrange(ii+1, N_elements): >> >>> > >>> > >> D[ii, jj] = compare(elements[ii], elements[jj]) >> >>> > >>> > >> >> >>> > >>> > >> *Large Set*: >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > >> with tb.openFile(h5_file, 'r') as f: >> >>> > >>> > >> data = f.root.data >> >>> > >>> > >> >> >>> > >>> > >> N_elements = len(data) >> >>> > >>> > >> >> >>> > >>> > >> D = np.empty((N_irises, N_irises)) >> >>> > >>> > >> for ii in xrange(N_elements): >> >>> > >>> > >> for jj in xrange(ii+1, N_elements): >> >>> > >>> > >> D[ii, jj] = compare(data['element'][ii], >> >>> > >>> > data['element'][jj]) >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> > >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> >>> HTML5, >> >>> > >>> CSS, >> >>> > >>> > >> MVC, Windows 8 Apps, JavaScript and much more. Keep your >> >>> skills >> >>> > >>> current >> >>> > >>> > >> with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >>> > >> MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> > >> http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> > >> _______________________________________________ >> >>> > >>> > >> Pytables-users mailing list >> >>> > >>> > >> Pyt...@li... >> >>> > >>> > >> >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > >> >> >>> > >>> > >> >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> > > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> >>> HTML5, >> >>> > CSS, >> >>> > >>> > > MVC, Windows 8 Apps, JavaScript and much more. Keep your >> skills >> >>> > >>> current >> >>> > >>> > > with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >>> > > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> > > http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> > > _______________________________________________ >> >>> > >>> > > Pytables-users mailing list >> >>> > >>> > > Pyt...@li... >> >>> > >>> > > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > > >> >>> > >>> > > >> >>> > >>> > -------------- next part -------------- >> >>> > >>> > An HTML attachment was scrubbed... >> >>> > >>> > >> >>> > >>> > ------------------------------ >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, >> HTML5, >> >>> CSS, >> >>> > >>> > MVC, Windows 8 Apps, JavaScript and much more. Keep your >> skills >> >>> > current >> >>> > >>> > with LearnDevNow - 3,200 step-by-step video tutorials by >> >>> Microsoft >> >>> > >>> > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> > http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> > >> >>> > >>> > ------------------------------ >> >>> > >>> > >> >>> > >>> > _______________________________________________ >> >>> > >>> > Pytables-users mailing list >> >>> > >>> > Pyt...@li... >> >>> > >>> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> > >> >>> > >>> > >> >>> > >>> > End of Pytables-users Digest, Vol 80, Issue 3 >> >>> > >>> > ********************************************* >> >>> > >>> > >> >>> > >>> -------------- next part -------------- >> >>> > >>> An HTML attachment was scrubbed... >> >>> > >>> >> >>> > >>> ------------------------------ >> >>> > >>> >> >>> > >>> >> >>> > >>> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >>> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> >>> CSS, >> >>> > >>> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> current >> >>> > >>> with LearnDevNow - 3,200 step-by-step video tutorials by >> Microsoft >> >>> > >>> MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >>> http://p.sf.net/sfu/learnmore_122712 >> >>> > >>> >> >>> > >>> ------------------------------ >> >>> > >>> >> >>> > >>> _______________________________________________ >> >>> > >>> Pytables-users mailing list >> >>> > >>> Pyt...@li... >> >>> > >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >>> >> >>> > >>> >> >>> > >>> End of Pytables-users Digest, Vol 80, Issue 4 >> >>> > >>> ********************************************* >> >>> > >>> >> >>> > >> >> >>> > >> >> >>> > >> >> >>> > >> >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> >>> CSS, >> >>> > >> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> current >> >>> > >> with LearnDevNow - 3,200 step-by-step video tutorials by >> Microsoft >> >>> > >> MVPs and experts. ON SALE this month only -- learn more at: >> >>> > >> http://p.sf.net/sfu/learnmore_122712 >> >>> > >> _______________________________________________ >> >>> > >> Pytables-users mailing list >> >>> > >> Pyt...@li... >> >>> > >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> >> >>> > >> >> >>> > > >> >>> > > >> >>> > > >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> CSS, >> >>> > > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> >>> current >> >>> > > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft >> >>> > > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > > http://p.sf.net/sfu/learnmore_122712 >> >>> > > _______________________________________________ >> >>> > > Pytables-users mailing list >> >>> > > Pyt...@li... >> >>> > > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > > >> >>> > > >> >>> > -------------- next part -------------- >> >>> > An HTML attachment was scrubbed... >> >>> > >> >>> > ------------------------------ >> >>> > >> >>> > >> >>> > >> >>> >> ------------------------------------------------------------------------------ >> >>> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, >> CSS, >> >>> > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills >> current >> >>> > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft >> >>> > MVPs and experts. ON SALE this month only -- learn more at: >> >>> > http://p.sf.net/sfu/learnmore_122712 >> >>> > >> >>> > ------------------------------ >> >>> > >> >>> > _______________________________________________ >> >>> > Pytables-users mailing list >> >>> > Pyt...@li... >> >>> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> > >> >>> > >> >>> > End of Pytables-users Digest, Vol 80, Issue 8 >> >>> > ********************************************* >> >>> > >> >>> -------------- next part -------------- >> >>> An HTML attachment was scrubbed... >> >>> >> >>> ------------------------------ >> >>> >> >>> >> >>> >> ------------------------------------------------------------------------------ >> >>> Master HTML5, CSS3, ASP.NET, MVC, AJAX, Knockout.js, Web API and >> >>> much more. Get web development skills now with LearnDevNow - >> >>> 350+ hours of step-by-step video tutorials by Microsoft MVPs and >> experts. >> >>> SALE $99.99 this month only -- learn more at: >> >>> http://p.sf.net/sfu/learnmore_122812 >> >>> >> >>> ------------------------------ >> >>> >> >>> _______________________________________________ >> >>> Pytables-users mailing list >> >>> Pyt...@li... >> >>> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >>> >> >>> >> >>> End of Pytables-users Digest, Vol 80, Issue 9 >> >>> ********************************************* >> >>> >> >> >> >> >> > >> > >> > >> ------------------------------------------------------------------------------ >> > Everyone hates slow websites. So do we. >> > Make your web apps faster with AppDynamics >> > Download AppDynamics Lite for free today: >> > http://p.sf.net/sfu/appdyn_d2d_jan >> > _______________________________________________ >> > Pytables-users mailing list >> > Pyt...@li... >> > https://lists.sourceforge.net/lists/listinfo/pytables-users >> > >> > >> -------------- next part -------------- >> An HTML attachment was scrubbed... >> >> ------------------------------ >> >> >> ------------------------------------------------------------------------------ >> Everyone hates slow websites. So do we. >> Make your web apps faster with AppDynamics >> Download AppDynamics Lite for free today: >> http://p.sf.net/sfu/appdyn_d2d_jan >> >> ------------------------------ >> >> _______________________________________________ >> Pytables-users mailing list >> Pyt...@li... >> https://lists.sourceforge.net/lists/listinfo/pytables-users >> >> >> End of Pytables-users Digest, Vol 81, Issue 2 >> ********************************************* >> > > > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_d2d_jan > _______________________________________________ > Pytables-users mailing list > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users > > |
